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Posted to issues@spark.apache.org by "Dongjoon Hyun (JIRA)" <ji...@apache.org> on 2016/08/08 10:19:20 UTC
[jira] [Commented] (SPARK-14666) Using DISTINCT on a UDF (like
CONCAT) is not supported
[ https://issues.apache.org/jira/browse/SPARK-14666?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15411617#comment-15411617 ]
Dongjoon Hyun commented on SPARK-14666:
---------------------------------------
Hi, [~dricard].
The feature you requested is available in Spark 2.0 now. Could you try 2.0?
{code}
scala> spark.range(10).createOrReplaceTempView("t1")
scala> sql("select distinct concat(id, ' : ', id) from t1 order by concat(id, ' : ', id)").show()
+---------------------------------------------------+
|concat(CAST(id AS STRING), : , CAST(id AS STRING))|
+---------------------------------------------------+
| 0 : 0|
| 1 : 1|
| 2 : 2|
| 3 : 3|
| 4 : 4|
| 5 : 5|
| 6 : 6|
| 7 : 7|
| 8 : 8|
| 9 : 9|
+---------------------------------------------------+
{code}
> Using DISTINCT on a UDF (like CONCAT) is not supported
> ------------------------------------------------------
>
> Key: SPARK-14666
> URL: https://issues.apache.org/jira/browse/SPARK-14666
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.6.1
> Reporter: Dominic Ricard
> Priority: Minor
>
> The following query fails with:
> {noformat}
> Java::JavaSql::SQLException: org.apache.spark.sql.AnalysisException: cannot resolve 'column_1' given input columns: [_c0]; line # pos ##
> {noformat}
> Query:
> {noformat}
> select
> distinct concat(column_1, ' : ', column_2)
> from
> table
> order by
> concat(column_1, ' : ', column_2);
> {noformat}
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